LAPSE:2023.33088
Published Article
LAPSE:2023.33088
A Novel Predictive Control Method with Optimal Switching Sequence and Filter Resonance Suppression for Two-Stage Matrix Converter
April 20, 2023
This paper proposes a vector modulation-based model predictive current control strategy for a two-stage matrix converter. The switching frequency is kept constant by fixing the switching instantly. The control scheme controls the source reactive power on the input side and output currents on the output side. Besides, the advantage of the proposed strategy compared with conventional model predictive control is firstly proved using the principle of vector synthesis and the law of sines in the vector distribution area. Moreover, to ensure zero-current switching operations and reduce the switching losses, an optimal switching sequence is proposed and implemented. Furthermore, considering that the input filter resonance is easier to be inspired by the model predictive control, compared with conventional linear control strategies, an innovative active damping technique is proposed to suppress the input filter resonance. To assess the performance of the proposed method, simulation and experimental results are demonstrated, showing that the control system features both good steady-state and transient performance.
Keywords
input filter resonance suppression, Model Predictive Control, optimal switching strategy, two-stage matrix converter, vector modulation
Suggested Citation
Di Z, Xu D, Tarisciotti L, Wheeler P. A Novel Predictive Control Method with Optimal Switching Sequence and Filter Resonance Suppression for Two-Stage Matrix Converter. (2023). LAPSE:2023.33088
Author Affiliations
Di Z: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China [ORCID]
Xu D: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Tarisciotti L: Department of Engineering, Universidad Andres Bello, Santiago 7500971, Chile [ORCID]
Wheeler P: Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK [ORCID]
Journal Name
Energies
Volume
14
Issue
12
First Page
3652
Year
2021
Publication Date
2021-06-19
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14123652, Publication Type: Journal Article
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LAPSE:2023.33088
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doi:10.3390/en14123652
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Apr 20, 2023
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